I will use the prediction design to investigate the quantitative data I collect from 12 remedial math students.
My research study is working with three independent variables - ACT scores, a motivation score and a self-efficacy score of remedial math students to see if there is a correlation with their final grade (my dependent variable). I will have my 12 remedial math students (6 students in the age group 18 - 22 and 6 more students in the age group 30 +) take a motivation test (Achievement Motivation Inventory) and a self- efficacy test (Mathematics Self-Efficacy Scale) at the bring of the semester. I will ask my 12 students to release their ACT scores to me in the beginning of the semester. At the end of the 18 week semester, I will ask my 12 remedial math students to release their final remedial math grade.
At the end of the semester, I will attempt to correlate the quantitative data to see if there is way to predict which students are at risk of not completing their remedial math courses based off of their ACT scores, motivation score, and self-efficacy score. I will be looking to see if the scores from the three independent variables will predict the final outcome of their final grades.
Research questions
The purpose of this study is to determine the relationship between ACT scores, motivation, self-efficacy, and final grades in remedial math at a mid-sized community college in southwest Missouri.
1. What is the relationship between ACT scores and final grades in remedial math at a mid-sized community college in southwest Missouri?
2. What is the relationship between motivation and final grades in remedial math at a mid-sized community college in southwest Missouri?
3. What is the relationship between self-efficacy and final grades in remedial math at a mid-sized community college in southwest Missouri?
Reference
Creswell, J. W. (2012). Educational research: Planning conducting, and evaluating quantitative and qualitative research (4th ed.). Upper Saddle River, NJ: Pearson.
Ok Cynthia, first, I recommend just sticking with the correlational design, as opposed to the prediction design (you need to have all data before you can predict so your logic is not correct). Also, you will need more than 12 students for your quantitative study. If you only have access to this few of number then I recommend switching to a qualitative study. However, I believe you can get a much larger sample. Also, I would recommend getting the ACT scores from the school's database as opposed to gathering it from each student.
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